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Jayadeep Pati

Showing results (1-10 of 4) with videos related to

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Environmental Monitoring and Assessment|May 5, 2023
Machine learning approach for assessment of arsenic levels using physicochemical properties of water, soil, elevation, and land coverSiddharth Kumar, Jayadeep Pati
Scientific Reports|May 18, 2026
IBNN: an integrated BERT-neural network framework for sentiment and emotion based text analysisMrinmoy Kayal, Jayadeep Pati, Siddharth Kumar
Scientific Reports|April 11, 2026
Enhancing Hindi OCR robustness with CRNN-ResNet50: a data augmentation approach on the devanagari datasetSujeet Kumar, Suman Sourabh, Jayadeep Pati, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|August 14, 2023
The machine learning and geostatistical approach for assessment of arsenic contamination levels using physicochemical properties of waterArghya Chattopadhyay, Anand Prakash Singh, Siddharth Kumar, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Environmental Monitoring and Assessment|May 5, 2023
Machine learning approach for assessment of arsenic levels using physicochemical properties of water, soil, elevation, and land coverSiddharth Kumar, Jayadeep Pati
Scientific Reports|May 18, 2026
IBNN: an integrated BERT-neural network framework for sentiment and emotion based text analysisMrinmoy Kayal, Jayadeep Pati, Siddharth Kumar
Scientific Reports|April 11, 2026
Enhancing Hindi OCR robustness with CRNN-ResNet50: a data augmentation approach on the devanagari datasetSujeet Kumar, Suman Sourabh, Jayadeep Pati, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|August 14, 2023
The machine learning and geostatistical approach for assessment of arsenic contamination levels using physicochemical properties of waterArghya Chattopadhyay, Anand Prakash Singh, Siddharth Kumar, et al.
Pageof 1